Update parameter 'table' to 'data' for gallery examples (#1567)

Author: seisman

examples/gallery/3d_plots/scatter3d.py

@@ -24,7 +24,7 @@
 # Use pygmt.info to get region bounds (xmin, xmax, ymin, ymax, zmin, zmax)
 # The below example will return a numpy array [0.0, 3.0, 4.0, 8.0, 1.0, 7.0]
 region = pygmt.info(
-    table=df[["petal_width", "sepal_length", "petal_length"]],  # x, y, z columns
+    data=df[["petal_width", "sepal_length", "petal_length"]],  # x, y, z columns
     per_column=True,  # report the min/max values per column as a numpy array
     # round the min/max values of the first three columns to the nearest
     # multiple of 1, 2 and 0.5, respectively

examples/gallery/histograms/histogram.py

@@ -20,7 +20,7 @@
 fig = pygmt.Figure()
 
 fig.histogram(
-    table=data,
+    data=data,
     # define the frame, add title and set background color to
     # lightgray, add annotations for x and y axis
     frame=['WSne+t"Histogram"+glightgray', 'x+l"Elevation (m)"', 'y+l"Counts"'],

examples/gallery/symbols/points_categorical.py

@@ -21,7 +21,7 @@
 # Use pygmt.info to get region bounds (xmin, xmax, ymin, ymax)
 # The below example will return a numpy array like [30.0, 60.0, 12.0, 22.0]
 region = pygmt.info(
-    table=df[["bill_length_mm", "bill_depth_mm"]],  # x and y columns
+    data=df[["bill_length_mm", "bill_depth_mm"]],  # x and y columns
     per_column=True,  # report the min/max values per column as a numpy array
     # round the min/max values of the first two columns to the nearest multiple
     # of 3 and 2, respectively

examples/tutorials/date_time_charts.py

@@ -257,7 +257,7 @@
 
 fig = pygmt.Figure()
 region = pygmt.info(
-    table=df[["Date", "Score"]], per_column=True, spacing=(700, 700), coltypes="T"
+    data=df[["Date", "Score"]], per_column=True, spacing=(700, 700), coltypes="T"
 )
 
 fig.plot(