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To plot int to datetime on X-axis using Seaborn in matplotlib, we can take the following stepsStepsSet the figure size and adjust the padding between and around the subplots.Create a dataframe, df, of two-dimensional, size-mutable, potentially heterogeneous tabular data, with three columns.Create a countplot with int, i.e., dob on the X-axis.Set int to datetime label on the X-axis.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 # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Data frame with 3 ... Read More
To get location for a label or a tuple of labels in a MultiIndex, use the MultiIndex.get_loc() method in Pandas.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects −multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('stuvwx')]) Display the MultiIndex −print("The MultiIndex...", multiIndex)Get the location −print("Get the locations in MultiIndex...", multiIndex.get_loc('s')) ExampleFollowing is the code −import pandas as pd # MultiIndex is a multi-level, or hierarchical, index object for pandas objects multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('stuvwx')]) # display the MultiIndex print("The MultiIndex...", multiIndex) # get the levels in MultiIndex print("The levels in ... Read More
To rearrange levels in MultiIndex, use the MultiIndex.reorder_levels() method in Pandas. Set the order of levels using the order parameter.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects. Create arrays −arrays = [[2, 4, 3, 1], ['Peter', 'Chris', 'Andy', 'Jacob'], [50, 30, 40, 70]] The "names" parameter sets the names for each of the index levels. The from_arrays() is used to create a MultiIndex −multiIndex = pd.MultiIndex.from_arrays(arrays, names=('rank', 'student', 'points'))Reorder levels of MultiIndex. The "order" parameter is used to set the level in a form to reorder levelsprint("Reorder levels ... Read More
To build colorbars without attached plot in matplotlib, we can take the following steps.StepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Adjust the subplot layout parameters.Normalize the quaternion in place. Return the norm of the quaternion.Get the colorbar instance (cb) with base colorbar and horizontal orientation.To display the figure, use Show() method.Exampleimport matplotlib.pyplot as plt import matplotlib as mpl # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Create a figure and a set of subplots fig, ax = plt.subplots() # Adjust ... Read More
To cycle through both colors and linestyles on a matplotlib figure, we can take the following steps.StepsSet the figure size and adjust the padding between and around the subplots.Set the current rcParams, withcolors and linestyle.Plot the data points using plot() method.To display the figure, use Show() method.Exampleimport matplotlib.pyplot as plt from cycler import cycler # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Set the rcParams with color or linestyle plt.rc('axes', prop_cycle=(cycler('color', ['r', 'g', 'b', 'y']) + cycler('linestyle', [':', '-.', '-', '--']))) # Plot the data points plt.plot([0, 5, 2, ... Read More
To rearrange levels using level name in MultiIndex, use the MultiIndex.reorder_levels() method in Pandas. Pass the levels (level names) to be rearranged as arguments.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects. Create arrays −arrays = [[2, 4, 3, 1], ['Peter', 'Chris', 'Andy', 'Jacob'], [50, 30, 40, 70]] The "names" parameter sets the names for each of the index levels. The from_arrays() is used to create a MultiIndex −multiIndex = pd.MultiIndex.from_arrays(arrays, names=('rank', 'student', 'points'))Reorder levels of MultiIndex. The "order" parameter is used to set the level name in a ... Read More
To rasterize a plot in a bettery way without blurring the labels in matplotlib, we can take the following steps.StepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Axis 0 – Fill the area between the curve with alpha and rasterized=False.Add text to the axes.Axis 1 – Fill the area between the curve with alpha and rasterized=True.Add text to the axes.Axes 2 and 3 – Fill the area between the curve without alpha and rasterized=True and False, respectively.Add text to the axes.To display the figure, use Show() method.Exampleimport matplotlib.pyplot as ... Read More
To get the properties of picked objects in matplotlib 3d, we can take the following steps.StepsSet 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.Make a scatter plot of random data points.Bind the function *pick_event_method* to the event *pick_event*.Print x, y and z coordinates of the event.To display the figure, use Show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ... Read More
To swap levels of a MultiIndex, use the swaplevel() method in Pandas. The levels to be swapped should be mentioned as arguments.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects. Create arrays −arrays = [[2, 4, 3, 1], ['Peter', 'Chris', 'Andy', 'Jacob'], [50, 30, 40, 70]] The "names" parameter sets the names for each of the index levels. The from_arrays() is used to create a MultiIndex −multiIndex = pd.MultiIndex.from_arrays(arrays, names=('rank', 'student', 'points'))Swap levels of MultiIndex using swaplevel(). The 1st parameter is the first level of index to be swapped. ... Read More
To return MultiIndex with multiple levels removed using the level names, use the MultiIndex.droplevel() method and set the multiple levels (level name) to be removed as arguments.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects. Create arrays −arrays = [[2, 4, 3, 1], ['Peter', 'Chris', 'Andy', 'Jacob'], [50, 30, 40, 70]] The "names" parameter sets the names for each of the index levels. The from_arrays() is used to create a MultiIndex −multiIndex = pd.MultiIndex.from_arrays(arrays, names=('rank', 'student', 'points'))Drop a specific level from MultiIndex. The levels to be dropped is set ... Read More