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Articles by Rishikesh Kumar Rishi
Page 23 of 102
How should I pass a matplotlib object through a function; as Axis, Axes or Figure?
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 MoreHow to label bubble chart/scatter plot with column from Pandas dataframe?
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 MoreHow to plot multi-color line if X-axis is datetime index of Pandas?
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 MoreHow to get coordinates from the contour in matplotlib?
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 MoreHow to remove random unwanted space in LaTeX-style maths in matplotlib plot?
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 MoreHow to get pixel coordinates for Matplotlib-generated scatterplot?
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 MoreHow to animate text in Matplotlib?
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 MoreHow to plot a rainbow cricle in matplotlib?
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 MoreHow to plot thousands of circles quickly in Matplotlib?
To plot thousands of circles quickly in Matplotlib, we will have to use matplotlib.collections. In this case, we will use CircleCollection.StepsImport the collections package from matplotlib along with pyplot and numpy.Set the figure size and adjust the padding between and around the subplots.Initialize variables "num" for number of small circles and "sizes" for sizes of circles.Create a list of circle patches.Add circle patch artist on the current axis.Set the margins of the axes.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt import matplotlib.collections as mc plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True num ...
Read MoreHow to plot a time series graph using Seaborn or Plotly?
To plot a time series graph using Seaborn or Plotly, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe, df, to hold a date_time series "time" and another variable data, speed.Make a Seaborn line plot with the data, "time" and "speed"Rotate the tick params by 45.To display the figure, use show() method.Exampleimport seaborn as sns from matplotlib import pyplot as plt import pandas as pd import numpy as np plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame( dict( ...
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