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To get location and sliced index for requested label/ level in a MultiIndex, use the get_loc_level() method in Pandas. Use the drop_level parameter and set it False to avoid dropping the level.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('strvwx')], names=['One', 'Two'])Display the MultiIndex −print("The MultiIndex...", multiIndex) Get the location and sliced index. To avoid dropping a level, we have used the "drop_level" parameter with value "False" −print("Get the location and sliced index (avoid dropping the level)...", multiIndex.get_loc_level('r', drop_level=False))ExampleFollowing is the code −import pandas as ... Read More
To adjust the space between matplotlib/seaborn subplots for multi-plot layouts, we can take the following stepsStepsSet 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.Create Seaborn's box plot for all the subplots.To display the figure, use Show() method.Exampleimport seaborn as sns from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig, axes = plt.subplots(2, 2) # Adjust the subplot layout parameters fig.subplots_adjust(hspace=0.125, wspace=0.125) # Create Seaborn boxplot for all the subplots sns.boxplot(ax=axes[0, 0]) sns.boxplot(ax=axes[0, 1]) sns.boxplot(ax=axes[1, 0]) sns.boxplot(ax=axes[1, ... Read More
To sort a boxplot by the median values in Pandas, we can take the following stepsStepsSet the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe of two-dimensional, size-mutable, potentially heterogeneous tabular data, with three columns.Group the dataframe elements by marks and dob.Find the median of the dataframe.Get the sorted values of the median.Create a box plot from the DataFrame columns.To display the figure, use Show() method.Exampleimport pandas as pd import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame([ [23, 'James', 12], [39, 'Jimmy', ... Read More
To get location and sliced index for requested label/ level in a MultiIndex, use the get_loc_level() 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('strvwx')], names=['One', 'Two'])Display the MultiIndex −print("The MultiIndex...", multiIndex) Get the location and sliced index −print("Get the location and sliced index...", multiIndex.get_loc_level('r'))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('strvwx')], names=['One', 'Two']) # display the MultiIndex print("The MultiIndex...", multiIndex) # get the ... Read More
To get location for a sequence of labels in a MultiIndex, use the MutiIndex.get_locs() 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('pqrrst'), list('kytssp')]) Display the MultiIndex −print("The MultiIndex...", multiIndex)Get the location for a sequence of labels −print("Get the locations in MultiIndex...", multiIndex.get_locs('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('pqrrst'), list('kytssp')]) # display the MultiIndex print("The MultiIndex...", multiIndex) # get the levels in MultiIndex print("The ... Read More
To make a grouped boxplot graph in matplotlib, we can take the following steps −Import matplotlib.pyplot and seaborn.Set the figure size and adjust the padding between and around the subplots.Load an example Seaborn dataset from the online repository.Make a boxplot with male and female group in a single day.To display the figure, use show() method.Exampleimport seaborn as sns import matplotlib.pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Import a Seaborn dataset data = sns.load_dataset('tips') # Create a grouped boxplot sns.boxplot(x=data['day'], y=data['total_bill'], hue=data['sex']) plt.show()OutputIt will produce the following ... Read More
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