Category : scientific-notation

Is it possible to write a number in scientific format into a json file without surrounding quotes? I’m using json.dump to save the file. Everything I’ve tried resulted in double quotes around the number. number = 1234.5678 "{:e}".format(number) -> "1.234568e+03" "%e" % number -> "1.234568e+03" f"{d:.4e}" -> "1.2346e+03" The desired output would be: 1.234568e+03 Source: ..

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I’m running a calculation that outputs a matplotlib plot with a vertical axis scaled with (see image below). ~1e-9-4.998e-1 This is very weird scaling and I’d like to make sure I understand the notation correctly. Does it mean the following? 0.000000001 – 0.4998 = -0.499799999 So far I haven’t been able to successfully google this. ..

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I need the first 4 digits after the front 0s in a decimal while also keeping the 0s in the output without getting scientific notation. Would like to take 0.0000000000000000000000634546534 and get 0.00000000000000000000006345 but not 6.345e-23. But would also like to take 231.00942353246 and get 231.009423. Thank you. Source: Python-3x..

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With matplotlib-style figures, I’m aware that using: import matplotlib.pyplot plt.ticklabel_format() allows you to set the axis labels into scientific notation or plain style (to suppress scientific notation). This can also be used in some seaborn plots like scatterplot or lineplot: import numpy as np import pandas as pd import seaborn as sns a = pd.DataFrame({"Time":np.repeat(np.arange(1e4,5.1e4,1e4),100), ..

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Ok I have tried hundred things, I went through old questions and I read the numpy.set_print_options but it won’t work. So I have an array which looks something like this when printed: array([[2.14966400e+03, 2.14976400e+03, 2.14986400e+03, 2.14996400e+03, 2.15006400e+03, 2.15016400e+03, 2.15026400e+03, 2.15036400e+03, 2.15046400e+03, 2.15056400e+03, 2.15066400e+03, 2.15076400e+03, 2.15086400e+03, 2.15096400e+03, 2.15106400e+03, 2.15116400e+03, 2.15126400e+03, 2.15136400e+03, 2.15146400e+03, 2.15156400e+03, 2.15166400e+03, 2.15176400e+03, 2.15186400e+03, ..

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Im using a pandas dataframe to load a received payload, and when format it is not formatted as I would like, example of my code: import pandas as pd df = pd.DataFrame([{‘A’: 2.5e-07, ‘B’: 2.5e-05, ‘C’: 2.5e-04, ‘D’: 0.0001, ‘E’: 0.01}]) pd.options.display.float_format = ‘{:f}’.format print(df.to_string()) pd.set_option(‘display.float_format’, str) print(df.to_string()) The output: A B C D E ..

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