import ntpath import os filename = "templates - original/001.png" print(ntpath.basename(filename)) print(os.path.basename(filename)) print(os.path.split(filename)) print(os.path.splitext(filename)) print(os.path.splitext(os.path.basename(filename))) print(os.path.splitext(os.path.basename(filename))[0])
output
001.png
001.png
('templates - original', '001.png')
('templates - original/001', '.png')
('001', '.png')
001
# import pandas package as pd
import pandas as pd
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
'Age': [21, 19, 20, 18],
'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
'Percentage': [88, 92, 95, 70]}
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
print("Given Dataframe :\n", df)
print("\nIterating over rows using iterrows() method :\n")
# iterate through each row and select
# 'Name' and 'Age' column respectively.
for index, row in df.iterrows():
print (row["Name"], row["Age"])
References
https://www.geeksforgeeks.org/different-ways-to-iterate-over-rows-in-pandas-dataframe/
import pandas as pd
excel_file = 'movies.xls' movies = pd.read_excel(excel_file)
movies_sheet1 = pd.read_excel(excel_file, sheetname=0, index_col=0)
p.title.text = title p.title_location = "above"
References
http://docs.bokeh.org/en/1.3.2/docs/user_guide/styling.html#title
p = figure(width=300, height=300, x_axis_label='Initial xlabel') p.xaxis.axis_label = 'New xlabel'
References
https://stackoverflow.com/questions/24131501/x-and-y-axis-labels-for-bokeh-figure
set FLASK_APP=app.py set FLASK_ENV=development REM set FLASK_ENV=production set FLASK_DEBUG=TRUE venv\Scripts\python.exe -m flask run --host=0.0.0.0 --port=14002
References
https://flask.palletsprojects.com/en/1.1.x/quickstart/
https://flask.palletsprojects.com/en/1.0.x/cli/
https://flask.palletsprojects.com/en/1.1.x/config/
https://stackoverflow.com/questions/29882642/how-to-run-a-flask-application
p.sizing_mode = "scale_both"
References
https://docs.bokeh.org/en/latest/docs/user_guide/layout.html#sizing-mode
Embedding a single plot at a time with output_file()
<iframe src="/assets/img/Bokeh/flowers.html"
sandbox="allow-same-origin allow-scripts"
width="100%"
height="500"
scrolling="no"
seamless="seamless"
frameborder="0">
</iframe>
References
https://p-mckenzie.github.io/2017/12/01/embedding-bokeh-with-github-pages/
from flask import Flask
from flask_cors import CORS, cross_origin
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'
@app.route("/")
@cross_origin()
def helloWorld():
return "Hello, cross-origin-world!"
References
https://stackoverflow.com/questions/25594893/how-to-enable-cors-in-flask
from bokeh.sampledata.glucose import data
from bokeh.plotting import figure, show, output_file
from bokeh.models import BoxAnnotation
output_file("box_annotation.html", title="box_annotation.py example")
TOOLS = "pan,wheel_zoom,box_zoom,reset,save"
#reduce data size
data = data.loc['2010-10-06':'2010-10-13']
p = figure(x_axis_type="datetime", tools=TOOLS)
p.line(data.index.to_series(), data['glucose'], line_color="gray", line_width=1, legend_label="glucose")
low_box = BoxAnnotation(top=80, fill_alpha=0.1, fill_color='red')
mid_box = BoxAnnotation(bottom=80, top=180, fill_alpha=0.1, fill_color='green')
high_box = BoxAnnotation(bottom=180, fill_alpha=0.1, fill_color='red')
p.add_layout(low_box)
p.add_layout(mid_box)
p.add_layout(high_box)
p.title.text = "Glucose Range"
p.xgrid[0].grid_line_color=None
p.ygrid[0].grid_line_alpha=0.5
p.xaxis.axis_label = 'Time'
p.yaxis.axis_label = 'Value'
show(p)
References
https://docs.bokeh.org/en/latest/docs/user_guide/annotations.html#box-annotations