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How to plot charts side by side with a forloop

By : TonyFaith
Date : August 26 2020, 06:00 AM
it should still fix some issue i have the following code: , You can take the code above and specify figsize parameter.
code :
fig, ax = plt.subplots(1, len(stocks), figsize=(20, 10))
fig, ax = plt.subplots(1, len(stocks), figsize=(len(stocks)*10, 10))

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Best way to provide charts on the web? Server-side or client-side library? HTML5?

By : user2498107
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further Client-side charts have the advantage that can be manipulated by the user, but need client-side support for the technology that is used to implement the charts.
HTML5 charts:

Plotly-Dash: Want two stacked bar charts side by side from single df column

By : proggable
Date : March 29 2020, 07:55 AM
should help you out EDIT - after a short dialouge in the comments, this is my latest suggestion:
code :
# import
import pandas as pd
import numpy as np
import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot


# sample data
Field = ['Police', 'Research', 'Police', 'Banking', 'Healthcare', 'Research', 'Healthcare', 'Banking']
Issue = ['Budget cuts', 'Budget cuts', 'Time consuming', 'Lack of oversight', 'Lack of support', 'Bureaucracy', 'Bureaucracy', 'Mistrust']

# Put the lists in a pandas dataframe for
# easy grouping and indexing
df = pd.DataFrame([Field, Issue]).T
df.columns = ['Field', 'Issue']
grField = df.groupby('Field').count()
grIssue = df.groupby('Issue').count()
dfgr = pd.concat([grField, grIssue], axis = 1, sort = False)
dfgr = dfgr.T

# Make one go.Bar() object for each category
# for corresponing Field / Issue
trace1 = go.Bar(
    x = ['Issue'],
    #y = [dfgr['Field']],
    y = [dfgr['Banking'].loc['Issue']],

trace2 = go.Bar(
    x = ['Issue'],
    #y = [dfgr['Field']],
    y = [dfgr['Healthcare'].loc['Issue']],

trace3 = go.Bar(
    x = ['Issue'],
    #y = [dfgr['Field']],
    y = [dfgr['Police'].loc['Issue']],

trace4 = go.Bar(
    x = ['Issue'],
    #y = [dfgr['Field']],
    y = [dfgr['Research'].loc['Issue']],

trace5 = go.Bar(
    x = ['Field'],
    #y = [dfgr['Field']],
    y = [dfgr['Budget cuts'].loc['Field']],
    name='Budget cuts')

trace6 = go.Bar(
    x = ['Field'],
    #y = [dfgr['Field']],
    y = [dfgr['Bureaucracy'].loc['Field']],

trace7 = go.Bar(
    x = ['Field'],
    #y = [dfgr['Field']],
    y = [dfgr['Lack of oversight'].loc['Field']],
    name='Lack of oversight')

trace7 = go.Bar(
    x = ['Field'],
    #y = [dfgr['Field']],
    y = [dfgr['Lack of oversight'].loc['Field']],
    name='Lack of oversight')

trace8 = go.Bar(
    x = ['Field'],
    #y = [dfgr['Field']],
    y = [dfgr['Lack of support'].loc['Field']],
    name='Lack of support')

trace9 = go.Bar(
    x = ['Field'],
    #y = [dfgr['Field']],
    y = [dfgr['Mistrust'].loc['Field']],

trace10 = go.Bar(
    x = ['Field'],
    #y = [dfgr['Field']],
    y = [dfgr['Time consuming'].loc['Field']],
    name='Time consuming')

# gather data and set up layout
#data = [trace1, trace2, trace3, trace4, trace5, trace6, trace7, trace8, trace9, trace10]
data = [trace10, trace9, trace8, trace7, trace6, trace5, trace4, trace3, trace2, trace1]
layout = go.Layout(barmode='stack', title = 'Stacked bar chart from single column')

# Build figure
fig = go.Figure(data=data, layout=layout)

# PLot figure
iplot(fig, filename='test.html')

How to create a factor variable from a data.frame and plot the columns on a side-by-side plot

By : user35919
Date : March 29 2020, 07:55 AM
will help you If I understand well, you want to have both of your dataframe in a long format of two columns, one column containing all colnames of your dataframe, and the second column with all values, then summarise each "factor" of the first column, merging both dataframes and plotting both dataframes into a single plot. Am I right ?
Here a way to do it. I called df the dataframe Activitieslessthan35 and df2 the dataframe ActivitiesMoreOrEqual35.
code :
df <- df %>% pivot_longer(everything(), names_to = "Activities", values_to = "Values_less_than35")
df2 <- df2 %>% pivot_longer(everything(),names_to = "Activities", values_to = "Values_More_than_35")
df_sum = df%>% group_by(Activities) %>% summarise(Values_less_than35 = sum(Values_less_than35))
df2_sum = df2 %>% group_by(Activities) %>% summarise(Values_More_than_35 = sum(Values_More_than_35))
final_df = merge(df_sum,df2_sum, by.x = "Activities", by.y = "Activities", all = TRUE)
final_df <- final_df %>% pivot_longer(., -Activities, names_to = "Variable", values_to = "Value")
ggplot(final_df, aes(x = stringr::str_wrap(Activities, 15), y = Value, fill = Variable)) +
  geom_col(stat = "identity", position = position_dodge()) +

How to make two charts using highchart show up in the same line side by side using div

By : mussab
Date : March 29 2020, 07:55 AM
I wish did fix the issue. Just float the containers left!
Either give both #container and #container2 a left float:

Plotly-Dash stacked bar charts side by side responsive to a dropdown

By : Mehak Khosla
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , I have the following data-frame: , Here is a simple working example, adapted from
code :
import dash
import dash_core_components as dcc
import dash_html_components as html

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

app.layout = html.Div(children=[
    html.H1(children='Hello Dash'),

        Dash: A web application framework for Python.

            'data': [
                {'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'},
                {'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'Montréal'},
                {'x': [1, 2, 3], 'y': [5, 2, 6], 'type': 'bar', 'name': 'SF', 'xaxis': 'x2',},
                {'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': u'Montréal', 'yaxis': 'y2',},
            'layout': {
                'title': 'Dash Data Visualization',
                'xaxis': {'domain':[0, 0.5]},
                'xaxis2': {'domain':[0.6, 1]},
                'yaxis2': {'anchor': 'x2'}

if __name__ == '__main__':
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