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Vikrant Rajan
python-projects
Commits
35534c45
Commit
35534c45
authored
Dec 27, 2019
by
Vikrant Rajan
Browse files
Bokeh Motion Detection
parent
c70d9a5c
Changes
16
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Hide whitespace changes
Inline
Side-by-side
Face Detection/Motion Detection App/Graph.html
0 → 100644
View file @
35534c45
<!DOCTYPE html>
<html
lang=
"en"
>
<head>
<meta
charset=
"utf-8"
>
<title>
Bokeh Plot
</title>
<script
type=
"text/javascript"
src=
"https://cdn.pydata.org/bokeh/release/bokeh-1.4.0.min.js"
></script>
<script
type=
"text/javascript"
>
Bokeh
.
set_log_level
(
"
info
"
);
</script>
</head>
<body>
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"bk-root"
id=
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data-root-id=
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id
"
:
"
1013
"
,
"
type
"
:
"
DatetimeAxis
"
}],
"
center
"
:[{
"
id
"
:
"
1017
"
,
"
type
"
:
"
Grid
"
},{
"
id
"
:
"
1022
"
,
"
type
"
:
"
Grid
"
}],
"
left
"
:[{
"
id
"
:
"
1018
"
,
"
type
"
:
"
LinearAxis
"
}],
"
plot_height
"
:
300
,
"
plot_width
"
:
1000
,
"
renderers
"
:[{
"
id
"
:
"
1041
"
,
"
type
"
:
"
GlyphRenderer
"
}],
"
title
"
:{
"
id
"
:
"
1003
"
,
"
type
"
:
"
Title
"
},
"
toolbar
"
:{
"
id
"
:
"
1029
"
,
"
type
"
:
"
Toolbar
"
},
"
x_range
"
:{
"
id
"
:
"
1005
"
,
"
type
"
:
"
DataRange1d
"
},
"
x_scale
"
:{
"
id
"
:
"
1009
"
,
"
type
"
:
"
LinearScale
"
},
"
y_range
"
:{
"
id
"
:
"
1007
"
,
"
type
"
:
"
DataRange1d
"
},
"
y_scale
"
:{
"
id
"
:
"
1011
"
,
"
type
"
:
"
LinearScale
"
}},
"
id
"
:
"
1002
"
,
"
subtype
"
:
"
Figure
"
,
"
type
"
:
"
Plot
"
}],
"
root_ids
"
:[
"
1002
"
]},
"
title
"
:
"
Bokeh Application
"
,
"
version
"
:
"
1.4.0
"
}}
</script>
<script
type=
"text/javascript"
>
(
function
()
{
var
fn
=
function
()
{
Bokeh
.
safely
(
function
()
{
(
function
(
root
)
{
function
embed_document
(
root
)
{
var
docs_json
=
document
.
getElementById
(
'
1283
'
).
textContent
;
var
render_items
=
[{
"
docid
"
:
"
1e600da5-6854-4e5d-8c7a-fbc2592df22a
"
,
"
roots
"
:{
"
1002
"
:
"
c856ed81-fc51-4993-a543-b1953e0f27f1
"
}}];
root
.
Bokeh
.
embed
.
embed_items
(
docs_json
,
render_items
);
}
if
(
root
.
Bokeh
!==
undefined
)
{
embed_document
(
root
);
}
else
{
var
attempts
=
0
;
var
timer
=
setInterval
(
function
(
root
)
{
if
(
root
.
Bokeh
!==
undefined
)
{
clearInterval
(
timer
);
embed_document
(
root
);
}
else
{
attempts
++
;
if
(
attempts
>
100
)
{
clearInterval
(
timer
);
console
.
log
(
"
Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing
"
);
}
}
},
10
,
root
)
}
})(
window
);
});
};
if
(
document
.
readyState
!=
"
loading
"
)
fn
();
else
document
.
addEventListener
(
"
DOMContentLoaded
"
,
fn
);
})();
</script>
</body>
</html>
\ No newline at end of file
Face Detection/Motion Detection App/Times.csv
0 → 100644
View file @
35534c45
,Start,End
0,2019-12-27 12:34:18.106721,2019-12-27 12:34:21.697614
Face Detection/Motion Detection App/__pycache__/capture.cpython-38.pyc
0 → 100644
View file @
35534c45
File added
Face Detection/Motion Detection App/capture.py
0 → 100644
View file @
35534c45
"""
MOTION DETECTION APPLICATION
"""
import
cv2
,
time
,
pandas
from
datetime
import
datetime
first_frame
=
None
status_list
=
[
None
,
None
]
times
=
[]
df
=
pandas
.
DataFrame
(
columns
=
[
"Start"
,
"End"
])
video
=
cv2
.
VideoCapture
(
0
)
while
True
:
check
,
frame
=
video
.
read
()
# 0 = nothing is moving, 1 = motion detected
status
=
0
gray
=
cv2
.
cvtColor
(
frame
,
cv2
.
COLOR_BGR2GRAY
)
gray
=
cv2
.
GaussianBlur
(
gray
,
(
21
,
21
),
0
)
if
first_frame
is
None
:
first_frame
=
gray
continue
delta_frame
=
cv2
.
absdiff
(
first_frame
,
gray
)
thresh_frame
=
cv2
.
threshold
(
delta_frame
,
30
,
255
,
cv2
.
THRESH_BINARY
)[
1
]
thresh_frame
=
cv2
.
dilate
(
thresh_frame
,
None
,
iterations
=
2
)
(
cnts
,
__
)
=
cv2
.
findContours
(
thresh_frame
.
copy
(),
cv2
.
RETR_EXTERNAL
,
cv2
.
CHAIN_APPROX_SIMPLE
)
for
contour
in
cnts
:
# checking the area of the objects in camera
if
cv2
.
contourArea
(
contour
)
<
10000
:
continue
status
=
1
(
x
,
y
,
w
,
h
)
=
cv2
.
boundingRect
(
contour
)
cv2
.
rectangle
(
frame
,
(
x
,
y
),
(
x
+
w
,
y
+
h
),
(
0
,
255
,
0
),
3
)
status_list
.
append
(
status
)
status_list
=
status_list
[
-
2
:]
if
status_list
[
-
1
]
==
1
and
status_list
[
-
2
]
==
0
:
times
.
append
(
datetime
.
now
())
if
status_list
[
-
1
]
==
0
and
status_list
[
-
2
]
==
1
:
times
.
append
(
datetime
.
now
())
cv2
.
imshow
(
"Gray Frame"
,
gray
)
cv2
.
imshow
(
"Delta Frame"
,
delta_frame
)
cv2
.
imshow
(
"Threshold Frame"
,
thresh_frame
)
cv2
.
imshow
(
"Color Frame"
,
frame
)
key
=
cv2
.
waitKey
(
1
)
if
key
==
ord
(
'q'
):
if
status
==
1
:
times
.
append
(
datetime
.
now
())
break
print
(
status_list
)
print
(
times
)
for
i
in
range
(
0
,
len
(
times
),
2
):
df
=
df
.
append
({
"Start"
:
times
[
i
],
"End"
:
times
[
i
+
1
]},
ignore_index
=
True
)
df
.
to_csv
(
"Times.csv"
)
video
.
release
()
cv2
.
destroyAllWindows
\ No newline at end of file
Face Detection/Motion Detection App/plotting.py
0 → 100644
View file @
35534c45
from
capture
import
df
from
bokeh.plotting
import
figure
,
show
,
output_file
from
bokeh.models
import
HoverTool
,
ColumnDataSource
df
[
"Start_string"
]
=
df
[
"Start"
].
dt
.
strftime
(
"%Y-%m-%d %H:%M:%S"
)
df
[
"End_string"
]
=
df
[
"End"
].
dt
.
strftime
(
"%Y-%m-%d %H:%M:%S"
)
cds
=
ColumnDataSource
(
df
)
p
=
figure
(
x_axis_type
=
"datetime"
,
height
=
300
,
width
=
1000
,
title
=
"Motion Graph"
)
p
.
yaxis
.
minor_tick_line_color
=
None
p
.
ygrid
[
0
].
ticker
.
desired_num_ticks
=
1
hover
=
HoverTool
(
tooltips
=
[(
"Start"
,
"@Start_string"
),(
"End"
,
"@End_string"
)])
p
.
add_tools
(
hover
)
q
=
p
.
quad
(
left
=
"Start"
,
right
=
"End"
,
bottom
=
0
,
top
=
1
,
color
=
"green"
,
source
=
cds
)
output_file
(
"Graph1.html"
)
show
(
p
)
\ No newline at end of file
bokeh/.ipynb_checkpoints/Basic Graph-checkpoint.ipynb
0 → 100644
View file @
35534c45
{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 2
}
bokeh/Basic Graph.ipynb
0 → 100644
View file @
35534c45
{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# Making a basic Bokeh Line Graph\n",
"\n",
"from bokeh.plotting import figure\n",
"from bokeh.io import output_file, show\n",
"\n",
"# getting some data\n",
"x = [3, 4, 5]\n",
"y = [6, 2, 7]\n",
"\n",
"# creating an output file\n",
"output_file(\"datavisualization.html\")\n",
"\n",
"# creating a figure object\n",
"f = figure()\n",
"\n",
"# creating a line plot with ^ data above ^\n",
"f.line(x, y)\n",
"\n",
"show(f)\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"# Making a basic Bokeh Line Graph\n",
"\n",
"from bokeh.plotting import figure\n",
"from bokeh.io import output_file, show\n",
"import pandas\n",
"\n",
"# getting some data\n",
"df = pandas.read_csv(\"data.csv\")\n",
"x = df[\"x\"]\n",
"y = df[\"y\"]\n",
"\n",
"# creating an output file\n",
"output_file(\"csv_file.html\")\n",
"\n",
"# creating a figure object\n",
"f = figure()\n",
"\n",
"# creating a line plot with ^ data above ^\n",
"f.line(x, y)\n",
"\n",
"show(f)\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Making a basic Bokeh Line Graph\n",
"\n",
"from bokeh.plotting import figure\n",
"from bokeh.io import output_file, show\n",
"import pandas\n",
"\n",
"# getting some data\n",
"df = pandas.read_csv(\"http://pythonhow.com/data/bachelors.csv\")\n",
"x = df[\"Year\"]\n",
"y = df[\"Engineering\"]\n",
"\n",
"# creating an output file\n",
"output_file(\"csv_file_2.html\")\n",
"\n",
"# creating a figure object\n",
"f = figure()\n",
"\n",
"# creating a line plot with ^ data above ^\n",
"f.line(x, y)\n",
"\n",
"show(f)\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"scrolled": true
},
"outputs": [
{
"ename": "AttributeError",
"evalue": "unexpected attribute 'logo' to Figure, possible attributes are above, align, aspect_ratio, aspect_scale, background, background_fill_alpha, background_fill_color, below, border_fill_alpha, border_fill_color, center, css_classes, disabled, extra_x_ranges, extra_y_ranges, frame_height, frame_width, height, height_policy, hidpi, inner_height, inner_width, js_event_callbacks, js_property_callbacks, left, lod_factor, lod_interval, lod_threshold, lod_timeout, margin, match_aspect, max_height, max_width, min_border, min_border_bottom, min_border_left, min_border_right, min_border_top, min_height, min_width, name, outer_height, outer_width, outline_line_alpha, outline_line_cap, outline_line_color, outline_line_dash, outline_line_dash_offset, outline_line_join, outline_line_width, output_backend, plot_height, plot_width, renderers, reset_policy, right, sizing_mode, subscribed_events, tags, title, title_location, toolbar, toolbar_location, toolbar_sticky, visible, width, width_policy, x_range, x_scale, y_range or y_scale",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-4-83d2c11ef81c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Engineering\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mp\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplot_width\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m500\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mplot_height\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m400\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtools\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'pan'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlogo\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"Cool Data\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/bokeh/plotting/figure.py\u001b[0m in \u001b[0;36mfigure\u001b[0;34m(**kwargs)\u001b[0m\n\u001b[1;32m 1240\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1241\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1242\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mFigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1243\u001b[0m \u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mFigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1244\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/bokeh/plotting/figure.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, *arg, **kw)\u001b[0m\n\u001b[1;32m 151\u001b[0m \u001b[0mkw\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'title'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 152\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 153\u001b[0;31m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 154\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 155\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mx_range\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_range\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mx_range\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/bokeh/model.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"id\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mModel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 319\u001b[0m \u001b[0mdefault_theme\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply_to_model\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/bokeh/core/has_props.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, **properties)\u001b[0m\n\u001b[1;32m 251\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mproperties\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 253\u001b[0;31m \u001b[0msetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 254\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 255\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/bokeh/core/has_props.py\u001b[0m in \u001b[0;36m__setattr__\u001b[0;34m(self, name, value)\u001b[0m\n\u001b[1;32m 285\u001b[0m \u001b[0mmatches\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtext\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mprops\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"possible\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 286\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 287\u001b[0;31m raise AttributeError(\"unexpected attribute '%s' to %s, %s attributes are %s\" %\n\u001b[0m\u001b[1;32m 288\u001b[0m (name, self.__class__.__name__, text, nice_join(matches)))\n\u001b[1;32m 289\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mAttributeError\u001b[0m: unexpected attribute 'logo' to Figure, possible attributes are above, align, aspect_ratio, aspect_scale, background, background_fill_alpha, background_fill_color, below, border_fill_alpha, border_fill_color, center, css_classes, disabled, extra_x_ranges, extra_y_ranges, frame_height, frame_width, height, height_policy, hidpi, inner_height, inner_width, js_event_callbacks, js_property_callbacks, left, lod_factor, lod_interval, lod_threshold, lod_timeout, margin, match_aspect, max_height, max_width, min_border, min_border_bottom, min_border_left, min_border_right, min_border_top, min_height, min_width, name, outer_height, outer_width, outline_line_alpha, outline_line_cap, outline_line_color, outline_line_dash, outline_line_dash_offset, outline_line_join, outline_line_width, output_backend, plot_height, plot_width, renderers, reset_policy, right, sizing_mode, subscribed_events, tags, title, title_location, toolbar, toolbar_location, toolbar_sticky, visible, width, width_policy, x_range, x_scale, y_range or y_scale"
]
}
],
"source": [
"from bokeh.plotting import figure\n",
"from bokeh.io import output_file, show\n",
"import pandas\n",
"\n",
"# getting some data\n",
"df = pandas.read_csv(\"http://pythonhow.com/data/bachelors.csv\")\n",
"x = df[\"Year\"]\n",
"y = df[\"Engineering\"]\n",
" \n",
"p=figure(plot_width=500,plot_height=400, tools='pan',logo=None)\n",
" \n",
"p.title.text=\"Cool Data\"\n",
"p.title.text_color=\"Gray\"\n",
"p.title.text_font=\"times\"\n",
"p.title.text_font_style=\"bold\"\n",
"p.xaxis.minor_tick_line_color=None\n",
"p.yaxis.minor_tick_line_color=None\n",
"p.xaxis.axis_label=\"Date\"\n",
"p.yaxis.axis_label=\"Intensity\" \n",
" \n",
"p.line(x,y)\n",
"output_file(\"graph.html\")\n",
"show(p)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import pandas\n",
" \n",
"from bokeh.plotting import figure, output_file, show\n",
" \n",
"df=pandas.read_excel(\"http://pythonhow.com/data/verlegenhuken.xlsx\",sheet_name=0)\n",
"df[\"Temperature\"]=df[\"Temperature\"]/10\n",
"df[\"Pressure\"]=df[\"Pressure\"]/10\n",
" \n",
"p=figure(plot_width=500,plot_height=400,tools='pan')\n",
" \n",
"p.title.text=\"Temperature and Air Pressure\"\n",
"p.title.text_color=\"Gray\"\n",
"p.title.text_font=\"arial\"\n",
"p.title.text_font_style=\"bold\"\n",
"p.xaxis.minor_tick_line_color=None\n",
"p.yaxis.minor_tick_line_color=None\n",
"p.xaxis.axis_label=\"Temperature (°C)\"\n",
"p.yaxis.axis_label=\"Pressure (hPa)\" \n",
" \n",
"p.circle(df[\"Temperature\"],df[\"Pressure\"],size=0.5)\n",
"output_file(\"Weather.html\")\n",
"show(p)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"import pandas\n",
"from bokeh.plotting import figure, output_file, show\n",
"\n",
"df=pandas.read_csv(\"adbe.csv\",parse_dates=[\"Date\"])\n",
"\n",
"p=figure(width=500, height=250, x_axis_type=\"datetime\")\n",
"\n",
"p.line(df[\"Date\"], df[\"Close\"], color=\"Orange\", alpha = 0.5)\n",
"\n",
"output_file(\"Timeseries.html\")\n",
"show(p)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
%% Cell type:code id: tags:
```
python
# Making a basic Bokeh Line Graph
from
bokeh.plotting
import
figure
from
bokeh.io
import
output_file
,
show
# getting some data
x
=
[
3
,
4
,
5
]
y
=
[
6
,
2
,
7
]
# creating an output file
output_file
(
"datavisualization.html"
)
# creating a figure object
f
=
figure
()
# creating a line plot with ^ data above ^
f
.
line
(
x
,
y
)
show
(
f
)
```
%% Cell type:code id: tags:
```
python
# Making a basic Bokeh Line Graph
from
bokeh.plotting
import
figure
from
bokeh.io
import
output_file
,
show
import
pandas
# getting some data
df
=
pandas
.
read_csv
(
"data.csv"
)
x
=
df
[
"x"
]
y
=
df
[
"y"
]