Add visidata plugin and json-function

config/visidataplugins/hidecol.py

@@ -0,0 +1,37 @@
+__version__ = "0.1.0"
+__author__ = "Your Name <your.email@example.com>"
+
+from visidata import Sheet, BaseSheet, vd
+
+
+@Sheet.api
+def hide_empty_and_superfluous_cols(sheet):
+    """
+    Given a sheet, hides columns that are empty or superfluous (contain the same
+    value in every row).
+    """
+    # Create a dictionary to keep track of which columns to hide
+    cols_to_hide = {}
+
+    # Check each column for being empty or superfluous
+    for col in sheet.visibleCols:
+        # Check if the column is empty (all cells are empty or None)
+        if all([col.getValue(row) in (None, "") for row in sheet.rows]):
+            cols_to_hide[col] = True
+            continue
+
+        # Check if the column is superfluous (contains the same value in every row)
+        values = set([col.getValue(row) for row in sheet.rows if col.getValue(row) not in (None, "", "null")])
+        if len(values) == 1:
+            cols_to_hide[col] = True
+
+    # Hide the columns that were flagged
+    if cols_to_hide:
+        for col in cols_to_hide:
+            col.width=0
+        vd.status(f"Hid {len(cols_to_hide)} empty/superfluous columns.")
+    else:
+        vd.status("No empty/superfluous columns to hide.")
+
+Sheet.addCommand(None, "tke-hidecol", "sheet.hide_empty_and_superfluous_cols()")
+

config/visidatarc

@@ -1,11 +1,20 @@
 # copy or link this file to ~/.visidatarc
 options.disp_date_fmt="%Y-%m-%dT%H:%M:%S"
 
+import plugins.hidecol
 
 from datetime import datetime
 import functools
 import json
 
+from urllib.parse import unquote_plus
+
+def decode_url_safe(url_safe_string):
+    utf8_string = unquote_plus(url_safe_string)
+    return utf8_string
+
+
+
 def what(item):
     return f"{type(item)}:{str(item)}"
 
@@ -267,3 +276,15 @@ def int2ip(zahl):
 # convert IP-String to Integer
 def ip2int(ip):
     return int.from_bytes(b"".join([int(c).to_bytes(1,'big') for c in b.split('.')]),'big')
+
+# parse KeyValue
+def dirty_kv(data):
+    return {y[0] : y[1] for y in [x.strip().split("=") for x in data.strip().strip('"{}').split(',')]}
+    
+
+    
+
+# parse json with missing quotes around attribute names
+import yaml
+def dirty_json(data):
+    return yaml.load(data, yaml.SafeLoader)