source: LMDZ6/trunk/libf/phylmd/ecrad/practical/ecradplot/general.py

Last change on this file was 4773, checked in by idelkadi, 9 months ago
  • Update of Ecrad in LMDZ The same organization of the Ecrad offline version is retained in order to facilitate the updating of Ecrad in LMDZ and the comparison between online and offline results. version 1.6.1 of Ecrad (https://github.com/lguez/ecrad.git)
  • Implementation of the double call of Ecrad in LMDZ


File size: 3.2 KB
Line 
1"""
2Filename:     general.py
3Author:       Shannon Mason, shannon.mason@ecmwf.int
4Description:  Common plotting functions.
5"""
6
7import pandas as pd
8import numpy as np
9
10#For loading and handling netCDF data
11import xarray as xr
12
13def format_time(ax, format_string="%H:%M", label='Time (UTC)'):
14    """
15    Format axes for time coordinates.
16    """
17    import matplotlib.dates as mdates
18    ax.set_xticklabels(ax.xaxis.get_majorticklabels(), rotation=0, ha='center')
19    ax.xaxis.set_major_formatter(mdates.DateFormatter(format_string))
20    ax.set_xlabel(label)
21
22
23def format_height(ax, scale=1.0e3, label='Height [km]'):
24    """
25    Format axes for height coordinates.
26    """
27    import matplotlib.ticker as ticker
28    ticks_y = ticker.FuncFormatter(lambda x, pos: '${0:g}$'.format(x/scale))
29    ax.yaxis.set_major_formatter(ticks_y)
30    ax.set_ylabel(label)
31
32
33def format_temperature(ax, scale='K'):
34    """
35    Format axes for temperature coordinates.
36    """
37    import matplotlib.ticker as ticker
38    ticks_y = ticker.FuncFormatter(lambda x, pos: '${0:g}$'.format(x))
39    ax.yaxis.set_major_formatter(ticks_y)
40    ymin, ymax = ax.get_ylim()
41    ax.set_ylim(ymax, ymin)
42    if scale == 'K':
43        ax.set_ylabel('Temperature [K]')
44    elif scale == 'C':
45        ax.set_ylabel('Temperature [K]')
46    else:
47        Error("Scale must be either K or C")
48
49
50def format_pressure(ax, scale=100, label='Pressure [hPa]'):
51    """
52    Format axes for pressure coordinates.
53    """
54    import matplotlib.ticker as ticker
55    ticks_p = ticker.FuncFormatter(lambda x, pos: '${0:g}$'.format(x/scale))
56    ax.yaxis.set_major_formatter(ticks_p)
57    ax.set_ylabel(label)
58
59
60def format_latitude(ax):
61    """
62    Format axes for latitude coordinates.
63    """
64    import matplotlib.ticker as ticker
65    latFormatter = ticker.FuncFormatter(lambda x, pos: "${:g}^\circ$S".format(-1*x) if x < 0 else "${:g}^\circ$N".format(x))
66    ax.xaxis.set_major_formatter(latFormatter)
67
68fancy_format_latitude  = lambda x: r"${:.0f}^{{\circ}}$S".format(-1*x) if x < 0 else "${:.0f}^{{\circ}}$N".format(x)
69unfancy_format_latitude  = lambda x: r"{:.0f}S".format(-1*x) if x < 0 else "{:.0f}N".format(x)
70
71def snap_to_axis(ax, ax_ref):
72    """
73    Align subplot ax with the bounds of subplot ax_ref
74    """
75    pos_ref = ax_ref.get_position()
76    pos = ax.get_position()
77    ax.set_position([pos_ref.x0, pos.y0, pos_ref.width, pos.height])
78
79def get_figure_center(ax):
80    bbox = ax.get_position()
81    return (bbox.get_points()[0][0] + bbox.get_points()[1][0])/2
82
83def get_figure_top(fig, ax, include_hspace=True):
84    bbox = ax.get_position()
85    if include_hspace:
86        return bbox.get_points()[0][1] + fig.subplotpars.hspace
87    else:
88        return bbox.get_points()[0][1]
89
90def place_suptitle(fig, axes, suptitle, y=0.95, va='top'):
91    center = get_figure_center(axes[0])
92    fig.suptitle(suptitle, ha='center', x=center, va=va, y=y)
93
94def add_subfigure_labels(axes, xloc=0.0, yloc=1.05, zorder=0, label_list=[], flatten_order='F'):
95    if label_list == []:
96        import string
97        labels = string.ascii_lowercase
98    else:
99        labels = label_list
100
101    for i, ax in enumerate(axes.flatten(order=flatten_order)):
102        ax.text(xloc, yloc, "%s)" %(labels[i]), va='baseline', transform=ax.transAxes, fontweight='bold', zorder=zorder)
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