Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
Python Articles
Page 704 of 852
Can I give a border to a line in Matplotlib plot function?
To give a border to a line in matplotlib plot function, we can call plot() function twice with varying line width.StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot x and y data points where line width=10 and color=black.Again plot x and y points where line width=8 and color=red.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-2, 2, 100) y = np.sin(x) plt.plot(x, y, c='black', lw=10) plt.plot(x, y, c='red', lw=8) plt.show()Output
Read MoreHow to change the linewidth of a hatch in Matplotlib?
To change the linewidth of a hatch in matplotlib, we can set the linewidth of the hatch in the params.StepsSet the figure size and adjust the padding between and around the subplots.Create x and y=sin(x) data points using numpy.Set the linewidth of the hatch in the plot.Plot x and y data points using scatter() method with a square marker having "/" hatches with set linewidth.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-5, 5, 25) y = np.sin(x) plt.rcParams['hatch.linewidth'] = 1 plt.scatter(x, y, ...
Read MorePlot scatter points on 3d plot without axes and grids in Matplotlib
To plot scatter points on a 3D plot without axes in matplotlib, we can use scatter() method and make the axes OFF.StepsSet the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure using figure() method.Add an axis as a subplot arrangement.Create xs, ys and zs data points using numpy.Use scatter() method to create a scatter plot.Use ax.axis('off') method to hide the axes.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(projection="3d") ...
Read MoreAdd a custom border to certain cells in a Matplotlib / Seaborn plot
To add a custom border to certain cells in a Matplotlib/Seaborn plot.StepsSet the figure size and adjust the padding between and around the subplots.Create a dataframe with some columns.Plot a matrix dataset as a hierarchically-clustered heatmap.Get heatmap axis as a subplot arrangement.To add a custom border to certain cells in Matplotlib, we can intialize a variable, border_color.Using custom bordder color, add a rectangle patch on the heatmap axes.To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt import seaborn as sns plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame({"col1": [1, 4, 2, ...
Read MoreHow do you just show the text label in a plot legend in Matplotlib?
To just show the text label in plot legend we can use legend method with handlelength=0, handletextpad=0 and fancybox=0 in the arguments.StepsSet the figure size and adjust the padding between and around the subplots.Create random x and y data points using numpy.Create a figure and a set of subplots using subplots() method.Plot x and y data points using plot() method with label "Zig-Zag" for the legend.Use legend() method to place the label for the plot with handlelength=0, handletextpad=0 and fancybox=0 in the arguments.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = ...
Read MoreBox plot with min, max, average and standard deviation in Matplotlib
To make a box plot for min, max, average and standard deviation in matplotlib, StepsSet the figure size and adjust the padding between and around the subplots.Create a random dataset of 5☓5 dimension.Find min, max, average and standard deviation from the data.Make a Pandas dataframe with Step 3, min, max, average and standard deviation data.Make a box plot from the dataframe column.Exampleimport numpy as np import pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.randn(5, 5) min = data.min(0) max = data.max(0) avg = data.mean(0) std = data.std(0) df = ...
Read MoreAdding a scatter of points to a boxplot using Matplotlib
To add a scatter of points to a boxplot using matplotlib, we can use boxplot() method and enumerate the Pandas dataframe to get the x and y data points to plot the scatter points.StepsSet the figure size and adjust the padding between and around the subplots.Make a dataframe using DataFrame class with the keys, Box1 and Box2.Make boxplots from the dataframe.Find x and y for the scatter plot using data (Step 1).To display the figure, use show() method.Exampleimport pandas as pd import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = ...
Read MoreHow to center labels in a Matplotlib histogram plot?
To place the labels at the center in a histogram plot, we can calculate the mid-point of each patch and place the ticklabels accordinly using xticks() method.StepsSet the figure size and adjust the padding between and around the subplots.Create a random standard sample data, x.Initialize a variable for number of bins.Use hist() method to make a histogram plot.Calculate the list of ticks at the center of each patch.Make a list of tickslabels.Use xticks() method to place xticks and labels.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = ...
Read MoreHow to extract data from a Matplotlib plot?
To extract data from a plot in matplotlib, we can use get_xdata() and get_ydata() methods.StepsSet the figure size and adjust the padding between and around the subplots.Create y data points using numpy.Plot y data points with color=red and linewidth=5.Print a statment for data extraction.Use get_xdata() and get_ydata() methods to extract the data from the plot (step 3).Print x and y data (Step 5).To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True y = np.array([1, 3, 2, 5, 2, 3, 1]) curve, = plt.plot(y, c='red', lw=5) print("Extracting ...
Read MoreShow tick labels when sharing an axis in Matplotlib
To show the tick labels when sharing an axis, we can just use the subplot() method with sharey argument. By default, y ticklabels could be visible.StepsSet the figure size and adjust the padding between and around the subplots.Add a subplot to the current figure using subplot() method, where nrows=1, ncols=2 and index=1 for axis ax1.Plot a line on the axis 1.Add a subplot to the current figure, using subplot() method, where nrows=1, ncols=2 and index=2 for axis ax2.Plot a line on the axis 2.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] ...
Read More