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Get fig from plt.figure() and create three different axes using add_subplot, where projection=3d.Set up the figure title using ax.set_title("name of the figure"). Use the method ax.quiver to plot vector projection, plot3D for cube, and plot_wireframe for sphere after using sin and cos.StepsCreate a new figure, or activate an existing figure.To draw vectors, get a 2D array.Get a zipped object.Add an ~.axes.Axes to the figure as part of a subplot arrangement, with 3d projection, where nrows = 1, ncols = 3 and index = 1.Plot a 3D field of arrows.Set xlim, ylim and zlim.Set the title of the axis (at index ... Read More
In this program, we will plot a bar graph using the matplotlib library. The most important Step in solving matplotlib related problems using the matplotlib library is importing the matplotlib library. The syntax is −import matplotlib.pyplot as pltPyplot is a collection of command style functions that make Matplotlib work like MATLABAlgorithmStep 1: Define a list of values. Step 2: Use the bar() function in the matplotlib.pyplot library and define different parameters like height, width, etc. Step 3: Label the axes using xlabel() and ylabel(). Step 3: Plot the graph using show().Example Codeimport matplotlib.pyplot as plt data_x = ['Mumbai', 'Delhi', ... Read More
To display tick marks on upper as well as right side of the plot, we can create duplicate axes for X as well Y by using scale_x_continuous and scale_y_continuous functions. The argument that will help us in this case is sec.axis and we need to set it to dup_axis as scale_x_continuous(sec.axis=dup_axis()) and scale_y_continuous(sec.axis=dup_axis()). Check out the below example to understand how it can be done.ExampleConsider the below data frame − Live Demox
In this task, we will find the length of strings in a Pandas series. We will use the str.len() function in the Pandas library for this purpose.AlgorithmStep 1: Define a Pandas series of string. Step 2: Find the length of each string using the str.len() function. Step 3: Print the results.Example Codeimport pandas as pd series = pd.Series(["Foo", "bar", "London", "Quarantine"]) print("Series: ", series) length = series.str.len() print("Length:", length)OutputSeries: 0 Foo 1 bar 2 London 3 Quarantine dtype: object Length: 0 3 1 3 2 6 3 10 dtype: int64
First, we can get the axes. Then, ax.spines could help to set the color by specifying the name of the axes, i.e., top, bottom, right and left.StepsAdd an axes to the current figure and make it the current axes.Using step 1 axes, we can set the color of all the axes.Using ax.spines[axes].set_color(‘color’), set the color of the axes. Axes could be bottom, top, right, and left. Color could be yellow, red, black, and blue.To show the figure, use the plt.show() method.Examplefrom matplotlib import pyplot as plt ax = plt.axes() ax.spines['bottom'].set_color('yellow') ax.spines['top'].set_color('red') ax.spines['right'].set_color('black') ax.spines['left'].set_color('blue') plt.show()OutputRead More
To divide each column by a particular column, we can use division sign (/). For example, if we have a data frame called df that contains three columns say x, y, and z then we can divide all the columns by column z using the command df/df[,3].ExampleConsider the below data frame − Live Demox1
In this program, we will convert a date string like "24 August 2020" to 2020-08-24 00:00:00. We will use the to_datetime() function in pandas library to solve this task.AlgorithmStep 1: Define a Pandas series containing date string. Step 2: Convert these date strings into date time format using the to_datetime format(). Step 3: Print the results.Example Codeimport pandas as pd series = pd.Series(["24 August 2020", "25 December 2020 20:05"]) print("Series: ", series) datetime = pd.to_datetime(series) print("DateTime Format: ", datetime)OutputSeries: 0 24 August 2020 1 25 December 2020 20:05 dtype: object DateTime Format: 0 2020-08-24 00:00:00 1 2020-12-25 20:05:00 dtype: datetime64[ns]
Using plt.rcParams["figure.figsize"], we can get the width setting.StepsTo get the plot width setting, use plt.rcParams["figure.figsize"] statement.Override the plt.rcParams["figure.figsize"] with a tuple (12, 9).After updating the width, get the updated width using plt.rcParams["figure.figsize"].ExamplesIn IDEExampleimport matplotlib.pyplot as plt print("Before, plot width setting:", plt.rcParams["figure.figsize"]) plt.rcParams["figure.figsize"] = (12, 9) print("Before, plot width setting:", plt.rcParams["figure.figsize"])OutputBefore, plot width setting: [6.4, 4.8] Before, plot width setting: [12.0, 9.0]In IPythonExampleIn [1]: from matplotlib import pyplot as plt In [2]: plt.rcParams["figure.figsize"]OutputOut[2]: [6.4, 4.8]
A regular expression is a sequence of characters that define a search pattern. In this program, we will use these regular expressions to filter valid and invalid emails.We will define a Pandas series with different emails and check which email is valid. We will also use a python library called re which is used for regex purposes.AlgorithmStep 1: Define a Pandas series of different email ids. Step 2: Define a regex for checking validity of emails. Step 3: Use the re.search() function in the re library for checking the validity of the email.Example Codeimport pandas as pd import re ... Read More
To calculate the z score for grouped data, we can use ave function and scale function. For example, if we have a data frame called df that contains a grouping coloumn say GROUP and a numerical column say Response then we can use the below command to calculate the z score for this data −ave(df$Response,df$GROUP,FUN=scale)ExampleConsider the below data frame − Live Demogrp