asciiread

mipylib.dataset.midata.asciiread(filename, **kwargs)

Read data from an ASCII file.

Parameters:

• filename – (string) The ASCII file name.

• delimiter – (string) Field delimiter character. Default is None, means space or tab delimiter.

• headerlines – (int) Lines to skip at beginning of the file. Default is 0.

• shape – (string) Data array dimension shape. Default is None, the file content will be readed as one dimension array.

• readfirstcol – (boolean) Read first column data or not. Default is True.

Returns:

(MIArray) The data array.

Read grid data from ASCII file:

rain = asciiread('D:/Temp/ascii/SURF_CLI_CHN_PRE_DAY_GRID_0.5-20120702.txt',headerlines=6,shape=(72,128))
rain1 = rain[::-1,:]
x = arange1(72, 128, 0.5)
y = arange1(18, 72, 0.5)
axesm()
mlayer = shaperead('D:/Temp/map/country1.shp')
geoshow(mlayer)
layer = contourfm(x, y, rain1, 20)
title('Precipitation')
ylabel('Latitude')
xlabel('Longitude')
colorbar(layer)

Read station data from ASCII file. numasciicol() and numasciirow() functions were used to get column and row number of the file:

fn = 'D:/Temp/ascii/flood.dat'
ncol = numasciicol(fn)
nrow = numasciirow(fn)
a = asciiread(fn,shape=(nrow,ncol))
lon = a[:,0]
lat = a[:,1]
v = a[:,2]
axesm()
mlayer = shaperead('D:/Temp/map/bou2_4p.shp')
geoshow(mlayer, facecolor=(220,220,220), edgecolor=None)
layer = scatterm(lon, lat, v, edge=False, size=2)
xlim(109.2, 111)
ylim(19.8, 21.8)
title('Flood plain area')
ylabel('Latitude')
xlabel('Longitude')
colorbar(layer)