To create a boxplot stratified by column in Python class, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a Pandas data frame of two-dimensional, size-mutable, potentially heterogeneous tabular data.Compute the histogram of a set of data.Create a boxplot startified ... Read More

To plot aggregated by date pandas dataframe, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a data frame, df, of two-dimensional, size-mutable, potentially heterogeneous tabular data.Get the values of aggregated by date pandas dataframe.Plot the df (Step 3) with ... Read More

To have the line color vary with the data index for a line graph in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Get smaller limit, dydx.Get the points and segments data ... Read More

To format a float using matplotlib's LaTeX formatter, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot the x and y data points using plot() method.Fill the area between the curve.Set the title ... Read More

To set local rcParams or rcParams for one figure in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Initialize a variable N to store the number of sample data.Create x and y data points using numpy.Return a context manager ... Read More

To plot multiple boxplots in one graph in Pandas or Matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Make a Pandas data frame with two columns.Plot the data frame using plot() method, with kind='boxplot'.To display the figure, use show() ... Read More

To plot a multivariate function in Python, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create random x, y and z data points using numpy.Create a figure and a set of subplots.Create a scatter plot with x, y and z ... Read More

To make a polygon radar (spider) chart in Python, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe with sports and values columns.Create a new figure or activate an existing figure.Add an 'ax' to the figure as ... Read More

To add a legend in a 3D scatterplot with scatter() in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Initialize a variable N to store the number of sample data.Create x and y data points; make z1 and z2 ... Read More

To remove NaN values from a dataframe without filter or interpolate, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create an array to make a Pandas data frame.One-dimensional ndarray with axis labels (including time series).Plotting interpolation, 'index', 'values' − Use ... Read More