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To show tick labels on top of a matplotlib plot, we can use the set_tick_params() method with labeltop=True.StepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Show the tick labels at the top of the plot. Use set_tick_parama() with labeltop=True.Hide the tick labels of the bottom axis of plot. Use set_tick_parama() with labeltop=False.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Create subplots fig, ax = plt.subplots(1, 1) # Show the ... Read More
To pass a matplotlib object through a function; as Axis, Axes or figure, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.In plot() method, plot x and y data points at axes ax.In profile() method, create a figure and a set of subplots. Iterate the axes and pass in plot() method to plot the figure.Call the profile() method with 3 rows and 4 columns.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True def plot(ax, ... Read More
To label bubble charts/scatter plot with column from Pandas dataframe, we can take the following steps −Set 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.Create a scatter plot with df.Annotate each data point with a text.To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Create a dataframe df = pd.DataFrame( dict( x=[1, 3, 2, ... Read More
To plot multicolor line if X-axis is datetime index of Pandas, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create d, y and s data points using numpy.Create a figure and a set of subplots.Get xval, p and s data point using numpy.Get the line collection instance with hot colormap and s data points.Set major and minor axes locator and set axes formatter.Autoscale the view limits using the data limits.To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt, dates as mdates, collections as ... Read More
To get coordinates from the contour in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create lists of x, y and m with data points.Use plt.contour(x, y, m) to create a contour plot with x, y and m data points.Get the contour collections instance.Get the path of the collections, and print the vertices or coordinates of the contour.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = [1, 2, 3, 4] y = [1, 2, 3, 4] m ... Read More
To sort bars in increasing order in a bar chart in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a data frame, df, of two-dimensional, size-mutable, potentially heterogeneous tabular data.Add a subplot to the current figure.Make a bar plot with the dataframe, df.Add a subplot to the current figure.Make a df_sorted by a column marks.Make a bar plot with df_sorted.To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame( ... Read More
LaTeX ignores the spaces you type and uses spacing the way it's done in mathematics texts. You can use the following four commands in case you want a different spacing style\; – thick space\: – medium space\, – a thin space\! – a negative thin spaceTo remove random unwanted space in LaTeX-style maths in matplotlib plot, we can use "\!" which will reduce the extra spacing.Let's take an example and understand how it works. We will have two sub-plots and then we will add a complex mathematical equation (using LaTex) in a textbox in both the sub-plots. However, we will ... Read More
To get pixel coordinates for matplotlib-generated scatterplot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable "n" to hold the number of sample data.Create a figure and a set of subplots.Make a scatter plot.Get the x and y data points using get_data() method.Get the pixel value of the plot.Get the pixel tranformed data.Get the figure width and height in points or pixelsPrint the x and y pixels value.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = ... Read More
To animate text in matplotlib, we can take the following steps −Import "animation" package from matplotlib.Set the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Add an 'ax' to the figure as part of a subplot arrangement.Initialize a variable "text" to hold a string.Add text to the axes at x=0.20 and y=0.50.Make a list of colors.Make an animation by repeatedly calling a function *animate*, where size of text is increased and color is changed.To display the figure, use show() method.Examplefrom matplotlib import animation import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = ... Read More
To plot a rainbow circles in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Set the X and Y axes scale.Make a list of rainbow colors.Create a true circle at (0, 0).Add a circle instance 'c' to the figure.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 5.50] plt.rcParams["figure.autolayout"] = True fig, ax = plt.subplots() plt.axis("equal") ax.set(xlim=(-10, 10), ylim=(-10, 10)) for i in range(0, 7): rainbow = ['violet', 'indigo', 'blue', 'green', ... Read More