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I have the following range of numpy data (deltas of usec timestamps):
array([ 4.312, 4.317, 4.316, 4.32 , 4.316, 4.316, 4.319, 4.317, 4.317, 4.316, 4.318, 4.316, 4.318, 4.316, 4.318, 4.317, 4.317, 4.317, 4.316, 4.317, 4.318, 4.316, 4.318, 4.316, 4.318, 4.316, 4.317, 4.317, 4.318, 4.316, 4.317, 4.317, 4.317, 4.317, 4.317, 4.316, 4.319, 4.315, 4.319, 4.315, 4.319, 4.315, 4.316, 4.319, 4.317, 4.317, 4.317, 4.318, 4.315, 4.317, 4.317, 4.317, 4.319, 4.314, 4.32 , 4.315, 4.317, 4.318, 4.315, 4.318, 4.317, 4.317, 4.317, 4.316, 4.317, 4.318, 4.317, 4.317, 4.317, 4.315, 4.319, 4.317, 4.315, 4.319, 4.316, 4.318, 4.318, 4.315, 4.318, 4.317, 4.317, 4.321]) When I plot with matplotlib.pyplot:
import matplotlib.pyplot as plt plt.plot( deltas ) plt.show() I get the following plot. Why is the Y-axis being scaled that way? How can I get the Y-axis to be labeled as the data, not an offset of the data? Sometimes the plot is the "+4.nnn" sometimes it isn't (depending on the data range?).
Plotted "strangely":
Plotted "correctly":
258
Import matplotlib. To set x-axis scale to log, use xscale() function and pass log to it. To plot the graph, use plot() function. To set the limits of the x-axis, use xlim() function and pass max and min value to it. To set the limits of the y-axis, use ylim() function and pass top and bottom value to it.
Plotting from an IPython shell Using plt. show() in Matplotlib mode is not required.
To set the y-axis limit, we use axis() method and we set xmin and xmax to None and ymin and ymax to -0.75 and 1.5 respectively. To display the plot, use plot() function.
set useOffset to False:
ax = plt.gca() ax.ticklabel_format(useOffset=False) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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