I have been working with matplotlib since 2013 (see for example issue # 1957) my system: Win10(64), IDE PyCharm, python 3.8.2 (64), numpy 1.19.2, matplotlib 3.2.2 and 3.3.0 I mainly use: matplotlib.pyplot as plt fig, ax=plt.subplot(...) ax.plot(...) ax.fill_between(......
The plots were created by using python3-matplotlib (version 3.1.2, https://matplotlib.org/). Full size image The precipitation pattern in Fig. 3b is more complex and contains 3 essential features: (1) normal conditions (2) persistent and wet conditions and (3) persistent and dry conditions...
(https://shtools.github.io/SHTOOLS/real-spherical-harmonics.html). To analyse the data and create the graphs and charts, we also used the following python packages: cartopy, matplotlib, netCDF4, numpy, pandas, string, and xarray. For the model weighting we used an implementation of ClimWIP...
import pandas as pd import matplotlib.pyplot as plt from matplotlib.cm import ScalarMappable fig, ax = plt.subplots(figsize=(7,5)) number_of_evals = 500 df_dynas = pd.read_csv('results_mbnv3w1p2_macs.csv')[:number_of_evals] df_dynas.columns = ['config', 'date', 'lat', ...
# the colorbar axes (for matplotlib 3 compatibility) for sp in ax2.spines.values(): sp.set_visible(False) ax, cbar = setup_axes(self.fig, ccmap, cnorm) if not isinstance(clabel, type(None)): change_cbar_text(cbar, np.linspace(cnorm.vmin, cnorm.vmax, len(clabel)), clabel) @...
Open-sourced Python code was used to create the figures, perform the analyses and all calculations, including the following modules and their required dependencies: matplotlib78, pandas79, NumPy80, seaborn81, xarray82, cartopy83 and SciPy84. Model output and scripts pertaining to the analyses prese...
Violin plots have been made with the vioplot R package,81 while supplementary boxplots have been constructed with the help of the matplotlib python package.82 References Hornberg, J. J., Bruggeman, F. J., Westerhoff, H. V. & Lankelma, J. Cancer: a systems Biology disease. Biosystems...
Fig. 2: Using spectral parameterization to disambiguate periodic and aperiodic contributions to delta band power. ASimulated power spectrum illustrating parameterized spectra. Unlike traditional band power measures that conflate periodic and aperiodic activity, spectral parameterization defines oscillation power ...
All data were analyzed using custom Python scripts. All graphs were visualized using either Seaborn or Matplotlib. Calculation of 95% confidence intervals was conducted via the Scipy library. References , 439–445 (2017). Chae, T. U., Ko, Y.-S., Hwang, K.-S. & Lee, S. Y. Metabolic...
For creating the network figures, version 3.1 of Cytoscape80was used. Violin plots have been made with the vioplot R package,81while supplementary boxplots have been constructed with the help of the matplotlib python package.82 , 61–70 (2012). ...