With matplotlib’s new subfigure – not subplot – but subfigure feature. I would like to draw a line between two subfigures. From my experimentation, I don’t believe connection patch (which works for subplots) works with this. Does anyone know if it possible? >Solution : You can still use ConnectionPatch with subfigures. Here is an example… Read More Draw a line to connect points between subfigures

I have below data frame, on which am creating a chart, The expectation is to create as below which is in excel, But while defining the axis in matplotlib, am facing an issue, import matplotlib.pyplot as plt import pandas as pd import random def la_bar(): df1 = pd.DataFrame(lst, columns=[‘source’,’type’,’date’,’count’]) #lst is a data set ax… Read More raise KeyError(key) KeyError: python matplotlib bar chart key error

I have two DataFrames with identical row indexes and column names that are sometimes only in one DataFrame, and sometimes in both. I wanted to plot data from columns that are in both DataFrames and arrange them in subplots. The final figure should look like this: ColumnA1 + ColumnB1 ColumnA2 + ColumnB2 ColumnA3 + ColumnB3… Read More Multiple series with subplots for shared columns in DataFrames

I need to plot two sets of data on the same chart with error bars. But I don’t have one of the measurements. days = [0.43, 1.72, 3.97, 4.81, 9.54, 10.9] magB = [None, 3.36, 3.9, 4.27, 5.47, 5.59] magV = [10.8, 2.88, 3.59, 3.89, 5.57, 5.82] fix, ax = plt.subplots() plt.xlabel("days") plt.ylabel("mag") plt.yticks(np.arange(3, 6,… Read More Ignoring None as one of the values

I would like to visualize a dataset (with legend and color bar). The dataset is a pandas dataframe as follows: X and Y are the values, the year column defines the year of data collection, and the shape column defines the method that is used in data collection. I am wondering how I can plot… Read More visualize based on two pandas data frame columns (continuous values and marker style)

I have this code to plot 3 game corporation stocks. But I want to give legend thus I can know which chart is for EA or for Take Two or for Activision. from pandas_datareader import data as pdr import yfinance as yf import matplotlib.pyplot as plt yf.pdr_override() y_symbols = [‘EA’, ‘TTWO’, ‘ATVI’] from datetime import… Read More How to Add Legend for Specific Stock Chart using matplotlib?

I have a dataframe df, which has many columns. In df["house_electricity"], there are values like 1,0 or blank/NA. I want to plot the column in terms of a pie chart, where percentage of only 1 and 0 will be shown. Similarly I want to plot another pie chart where percentage of 1,0 and blank/N.A all… Read More pie chart drawing for a specific column in pandas python

I have a function f and I would like to color-fill between two contours. One contour is shown in blue in the figure on the left. The contour consists in two disjoint curves. Another contour is shown in green in the middle figure, and consists in a single curve. Both contours are shown together in… Read More Matplotlib fill area between contour lines where one contour line is made of two disjoint curves

I have these two lists: **l1** = [‘100.00’, ‘120.33’, ‘140.21’, ‘159.81’, ‘179.25’, ‘183.13’, ‘202.49’, ‘202.89’, ‘204.18’, ‘205.35’, ‘206.44’, ‘207.45’, ‘208.40’, ‘209.30’, ‘210.15’, ‘210.96’, ‘211.73’, ‘212.47’, ‘213.18’, ‘213.87’, ‘214.53’, ‘215.17’, ‘215.79’, ‘216.39’, ‘216.98’, ‘217.54’, ‘218.10’, ‘218.63’, ‘219.16’, ‘219.67’, ‘220.18’, ‘220.67’, ‘221.15’] **l2** = [‘13.14’, ‘13.37’, ‘13.53’, ‘13.66’, ‘13.76’, ‘13.77’, ‘20.70’, ‘21.51’, ‘23.85’, ‘26.39’, ‘29.13’, ‘32.06’, ‘35.17’,… Read More How to properly plot graph using matplotlib?

I have a very simple DataFrame, and I want to apply a goupby so I can plot the common count between the two columns. Then I want to plot the grouped DataFrame. I did it by the following lines of codes: my_data = { "source": [‘Live’,’Twitter’,’Twitter’,’Telegram’,’Telegram’], "second_source":[‘Qa’,’Unspecified’,’Da’,’Hzo’,’Tolib’], "count":[7,1,1,1,1] } my_dataframe = pd.DataFrame(my_data) # Make the… Read More How to show values above the bar Python