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Data Visualization Articles
Page 59 of 68
How to skip empty dates (weekends) in a financial Matplotlib Python graph?
To skip weekends in a financial graph in matplotlib, we can iterate the time in dataframe and skip the plot if weekday is 5 or 6.StepsSet the figure size and adjust the padding between and around the subplots.Create a dataframe with keys time.Iterate zipped index and time of a date frame.If iterated timestamp is having weekday 5 or 6, don't plot them.Other than 5 or 6 weekday, plot the points.Set the current tick locations of Y-axis.Lay out a plot with grid lines.To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, ...
Read MoreHow to write annotation outside the drawing in data coords in Matplotlib?
We can use annotate() method to place annotation outside the drawing.StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Create a figure and a set of subplots using subplots() method.Use scatter() method to plot x and y data points using star marker and copper color map.To place annotation outside the drawing, use xy coordinates tuple accordingly.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.random.rand(100) y = np.random.rand(100) fig, ax = plt.subplots() ax.scatter(x, y, ...
Read MoreHistogram for discrete values with Matplotlib
To plot a histogram for discrete values with matplotlib, we can use hist() method.StepsSet the figure size and adjust the padding between and around the subplots.Make a list of discrete values.Use hist() method to plot data with bins=length of data and edgecolor=black.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"] = True data = [1, 4, 2, 3, 5, 9, 6, 7] plt.hist(data, bins=len(data), edgecolor='black') plt.show()Output
Read MorePlotting only the upper/lower triangle of a heatmap in Matplotlib
To plot only the upper/lower triangle of a heatmap in matplotlib, we can use numpy to get the masked 2D array and convert them into an image to produce a heatmap.StepsSet the figure size and adjust the padding between and around the subplots.Create a random data of 5×5 dimension.Use numpy.tri() method to create an array with 1's at and below the given diagonal and 0's elsewhere.Get the masked 2D array data with masked array (Using step 3).Use imshow() method to display the data as an image, i.e., on a 2D regular raster.To display the figure, use show() method.Exampleimport numpy as ...
Read MoreIs it possible to control Matplotlib marker orientation?
To control matplotlib marker orientation, we can use marker tuple that contains a number of sides, style and rotation or orientation of the marker.StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Make an array of 10 different rotations.Zip x, y and i. Iterate them and plot the points using plot() method with marker tuple.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.random.rand(10) y = np.random.rand(10) i = np.linspace(0, 10, 10) for x, ...
Read MoreHow to plot an emoji as a label for a bar in Matplotlib?
We can use annotate() to place an emoji at the top of a bar.StepsSet the figure size and adjust the padding between and around the subplots.Make a list of frequencies and labels conatining emojis.Create a new figure or activate an existing figure using figure() method.Plot bars using bar() method.Use annotate() method to place emojis as a labelTo 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 freqs = [7, 8, 5, 3, 6] labels = ['😊', '😲', '😂', '😃', '😛'] plt.figure() p1 = plt.bar(np.arange(len(labels)), freqs) for rect1, ...
Read MoreCan 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, ...
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