Assuming I have a DataFrame that looks like this: Hour V1 V2 A1 A2 0 15 13 25 37 1 26 52 21 45 2 18 45 45 25 3 65 38 98 14 I'm trying to create a bar plot to compare columns V1 and V2 by the Hour. When I do: import matplotlib.pyplot as plt ax = df.plot(kind='bar', title ="V comp",figsize=(15,10),legend=True, fontsize=12)

Is there any way to plot a bar plot using matplotlib using data directly from a dict? My dict looks like this: D = {u'Label1':26, u'Label2': 17, u'Label3':30} I was expecting fig = plt.figure(

How to plot multiple bars in matplotlib, when I tried to call the bar function multiple times, they overlap and as seen the below figure the highest value red can be seen only. How can I plot the multiple bars with dates on the x-axes? So far, I tried this: import matplotlib.pyplot as plt import datetime x = [ datetime.datetime(2011, 1, 4, 0, 0),

Oct 18, 2017 · I am trying to plot a graph of two variables but without success. My goal is to to create a bar graph where the Events1 And Events2 appear along in order to be easier to compare the "Name" (two bar...

Nov 7, 2018 · Hi there, sounds like you need a grouped bar chart. Please post some sample data so people can experiment. Also, post the Python package you need to use - matplotlib, pandas, etc. If you can combine summer and winter data together, then there are examples of this with matplotlib (1, 2) or pandas plotting. If they must be kept separate, see 1

I have multiple dataframes, and I want to plot them on the same figure in the Grouped Bar Chart view. These are two very small dataframes that I would like to plot together in the same figure. The

Dec 23, 2016 · See How to add value labels on a bar chart for additional details and examples with .bar_label. Tested with pandas v1.2.4, which is using matplotlib as the plot engine.

You get it directly from the axes' patches: for p in ax.patches: ax.annotate(str(p.get_height()), (p.get_x() * 1.005, p.get_height() * 1.005)) You'll want to tweak the string formatting and the offsets to get things centered, maybe use the width from p.get_width(), but that should get you started. It may not work with stacked bar plots unless you track the offsets somewhere.

Mar 25, 2017 · Is there a way to create a bar plot from continuous data binned into predefined intervals? For example, In[1]: df Out[1]: 0 0.729630 1 0.699620 2 0.710526 3 0.000000 4 0.

Feb 23, 2018 · This is my answer: def plot_bargraph_with_groupings(df, groupby, colourby, title, xlabel, ylabel): """ Plots a dataframe showing the frequency of datapoints grouped by one column and coloured by another. df : dataframe groupby: the column to groupby colourby: the column to color by title: the graph title xlabel: the x label, ylabel: the y label """ import matplotlib.patches as mpatches # Makes ...